Capital One

Data Engineer 4 - Intelligent Foundations and Experiences (IFX)

Capital One
Apply
1 month ago
Richmond, VA, USA or McLean, VA, USAStaff+

Base Salary

$179k - $225k/yr

Responsibilities

  • Design, build, test, implement, and support cloud-first data solutions, platforms, applications, and pipelines.
  • Architect and enforce reusable data engineering patterns that promote code quality, maintainability, and scalability.
  • Design and operate scalable, resilient, and operationally efficient data pipelines, including real-time or streaming workloads.
  • Develop end-to-end data solutions using relational and non-relational database systems, data modeling, and cloud data warehouses.
  • Implement data security standards such as encryption at rest and in transit and fine-grained access control.
  • Collaborate with product managers, software engineers, data analysts, and data scientists to deliver customer-facing data capabilities.
  • Communicate technical concepts and data outcomes to internal and external stakeholders.
  • Mentor members of the data community and influence teams working with distributed data, machine learning, microservices, and lakehouse architectures.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
  • At least 4 years of application development experience; internship experience does not apply.
  • At least 2 years of experience with distributed data, SQL, one programming language, and data pipeline design and development.
  • At least 1 year of experience in data modeling and designing end-to-end data solutions with relational and non-relational databases.
  • Preferred qualifications include 7+ years of application development experience and 4+ years designing, deploying, and operating workloads in a public cloud environment.
  • Preferred experience includes distributed data or compute workloads with EMR, Spark, Glue, or Databricks; real-time or streaming pipelines; data observability or orchestration tools; NoSQL databases; and data warehousing solutions.
  • Preferred experience includes Agile development, reusable data products, and proficiency in Python, SQL, Scala, or Java.

Benefits

  • Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
  • The role is expected to accept applications for a minimum of 5 business days.
  • The posting includes location-specific full-time annual salary ranges and performance-based incentive eligibility; incentive compensation may include cash bonuses or long-term incentives.

Tech Stack

Amazon DynamoDBAmazon RedshiftApache AirflowApache CassandraApache SparkAWSAzureDatabricksGoogle CloudJavaMongoDBPythonScalaSnowflakeSplunkSQL

Categories

Data Engineering
Capital One

About Capital One

10,000+ employees

Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.

Contact me